A Reference-Model-Based Neural Network Control Method for Multi-Input Multi-Output Temperature Control System

A Reference-Model-Based Neural Network Control Method for Multi-Input Multi-Output Temperature Control System

Neural networks (NNs), which have excellent ability of self-learning and parameter adjusting, has been widely applied to solve highly nonlinear control problems in industrial processes. This paper presents a reference-model-based neural network control method for multi-input multi-output (MIMO) temp...

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Bibliographic Details
Main Authors: Yuan Liu, Song Xu, Seiji Hashimoto, Takahiro Kawaguchi
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Processes
Subjects:
neural network control
multi-input multi-output temperature system
transient response
temperature uniformity
Online Access:https://www.mdpi.com/2227-9717/8/11/1365

Internet

https://www.mdpi.com/2227-9717/8/11/1365

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